Publication
Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems
Journal Article (2019)
Journal
Journal of the Franklin Institute
Pages
5293-5314
Volume
356
Number
10
Doc link
https://doi.org/10.1016/j.jfranklin.2019.04.014
File
Abstract
In this paper, we propose a robust fault detection and isolation (FDI) strategy based on zonotopic unknown input observers (UIOs) for discrete-time descriptor linear time-varying (LTV) systems subject to uncertainties and additive actuator faults. System uncertainties including state disturbances and measurement noise are unknown but bounded by predefined zonotopes. The uncertain state estimations and constructed residuals for robust FDI are propagated in a sequence of zonotopes. Based on a defined performance criterion, the fault detection (FD) observer gain is designed to be robust against uncertainties and meanwhile sensitive to faults. The explicit computational method for the FD observer gain is derived. In addition to include fault isolation, a bank of zonotopic UIOs are employed. Finally, we apply the proposed method into two case studies to show its effectiveness.
Categories
control system analysis, control theory.
Scientific reference
Y. Wang, V. Puig, F. Xu and G. Cembrano. Robust fault detection and isolation based on zonotopic unknown input observers for discrete-time descriptor systems. Journal of the Franklin Institute, 356(10): 5293-5314, 2019.
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